This course has been adjusted for remote participation in Semester 1, 2022.
This course presents the principles and techniques fundamental to the analysis and design of digital communication systems. It focuses on the basic building blocks of a digital communication system (channel encoder/decoder, digital modulator/demodulator and channel characteristics). The emphasis is on mathematical underpinnings of communications theory along with practical applications. Specific topics include:
- Review of Probability and Random Processes and Modelling of Gaussian noise process.
- Digital Modulation Techniques: Signal space analysis, BPSK, QPSK, QAM.
- Digital Demodulation & Detection Techniques: Correlator-demodulator, Maximum likelihood detection (MLD) in additive white Gaussian noise (AWGN), bit error rate (BER) performance.
- Channel Encoder/Decoder: Linear block codes, Cyclic codes, Convolutional codes, Viterbi algorithm.
- Information Theory and Source Coding: Source Entropy, Huffman Coding, Channel Capacity.
- Advanced topics in digital communications are briefly discussed if time allows. Matlab is used extensively in the analysis and design.
Upon successful completion, students will have the knowledge and skills to:
- Model digital communication signals and systems using appropriate mathematical techniques (e.g., probability, random process, signal-space analysis, constellation diagram, trellis diagram).
- Analyse the performance of digital modulation schemes over AWGN channels and choose appropriate modulation schemes according to design criteria.
- Characterise error-control codes and apply the encoding and decoding processes.
- Compute source entropy and channel capacity and apply the Huffman coding technique.
- Provide sound evaluation of practical digital communication systems in terms of their performance and complexity.
- Simulate digital communication systems in a proficient and confident manner.
- Apply engineering design practice in a laboratory setting, individually or in a small team, and communicate the results effectively.
Professional Skills Mapping:
- Assignments (12) [LO 1,2,3,4,5,6]
- Computer and Hardware Labs (15) [LO 1,2,3,5,6,7]
- Mid-Term Exam (20) [LO 1,2,5]
- Final Exam (53) [LO 1,2,3,4,5]
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10 hours per week is expected. Approximately 34 hours of lectures, 4 three-hour labs, 5 one-hour tutorials, plus adequate self-study, assignments, reports and exam preparations.
Requisite and Incompatibility
- Proakis, John G., Digital Communications, 4th ed, McGraw Hill, 2001
- Sklar, Bernard, Digital Communications: Fundamentals and Applications, 2nd edition, Prentice Hall
- Rappaport, Theodore S. Wireless Communications Principles & Practice, 2nd edition, Prentice Hall, 2002.
- Haykin, Simon, Communication Systems, 4th edition, John Wiley, 2001.
- Goldsmith, Andrea Wireless Communications, Cambridge University Press, 2005.
- Proakis, J.G. & Salehi, M., Communications Systems Engineering, 2nd edition, Pearson/Prentice Hall, 2002
Assumed knowledge of electronics and communications enigneering
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|2366||20 Feb 2023||27 Feb 2023||31 Mar 2023||26 May 2023||In Person||N/A|